Search Results for author: Jenelle Feather

Found 5 papers, 4 papers with code

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

1 code implementation NeurIPS 2021 Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung

Adversarial examples are often cited by neuroscientists and machine learning researchers as an example of how computational models diverge from biological sensory systems.

Adversarial Robustness

Speech Denoising with Auditory Models

1 code implementation21 Nov 2020 Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott

Contemporary speech enhancement predominantly relies on audio transforms that are trained to reconstruct a clean speech waveform.

Denoising Speech Denoising +1

Metamers of neural networks reveal divergence from human perceptual systems

1 code implementation NeurIPS 2019 Jenelle Feather, Alex Durango, Ray Gonzalez, Josh Mcdermott

Although model metamers from early network layers were recognizable to humans, those from deeper layers were not.

Probing emergent geometry in speech models via replica theory

no code implementations28 May 2019 Suchismita Padhy, Jenelle Feather, Cory Stephenson, Oguz Elibol, Hanlin Tang, Josh Mcdermott, SueYeon Chung

The success of deep neural networks in visual tasks have motivated recent theoretical and empirical work to understand how these networks operate.

speech-recognition Speech Recognition

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